Quarkonium production as a function of charged-particle multiplicity in pp and p--Pb collisions measured by ALICE at the LHC

Quarkonium production as a function of the charged-particle multiplicity could provide an insight into particle production processes at the partonic level in hadronic collisions. It is believed that multiple partonic interactions play an important role in particle production and affect both soft and hard processes. The study of correlations between quarkonia and charged-particle multiplicity may provide information about this. In this contribution, ALICE measurements of J$/\psi$ and $\Upsilon$ production as a function of charged-particle multiplicity are presented for pp collisions at center-of-mass energies $\sqrt{s}$ = 5.02 and 13 TeV. A similar measurement performed in p\textendash Pb collisions at $\sqrt{s_{\rm{NN}}}$ = 8.16 TeV at both forward and backward rapidity is also discussed.Comment: 5pages, 6 figure

J/ψJ/\psi production as a function of charged-particle multiplicity with ALICE at the LHC

At LHC energies, the charged-particle multiplicity dependence of particle production is a topic of considerable interest in $pp$ collisions. It has been argued that multiple partonic interactions play an important role in particle production mechanisms, not only affecting the soft processes but also the hard processes. Recently, ALICE has measured $J/\psi$ production as a function of charged-particle multiplicity to study the correlation between soft and hard processes. In this contribution, we present the $J/\psi$ production versus multiplicity for $pp$ and $p-Pb$ collisions measured by ALICE. We compare the results with different theoretical models.Comment: Presented at FPCP 2018,Hyderabad,INDI

Sub capsular splenectomy for delayed spontaneous splenic rupture in a case of sickle cell anemia

Splenic ruptures are mostly due to trauma and manifest at the moment of injury with symptoms of acute intraperitoneal hemorrhage and shock. Spontaneous/pathological and delayed rupture of the spleen is not unknown. A case of delayed spontaneous splenic rupture in a case of sickle cell anemia is being reported, which was treated with sub capsular splenectomy (from within the pseudo capsule formed due to inflammation)

Zero-Inflated Models to Identify Transcription Factor Binding Sites in ChIP-seq Experiments

It is essential to determine the protein-DNA binding sites to understand many biological processes. A transcription factor is a particular type of protein that binds to DNA and controls gene regulation in living organisms. Chromatin immunoprecipitation followed by highthroughput sequencing (ChIP-seq) is considered the gold standard in locating these binding sites and programs use to identify DNA-transcription factor binding sites are known as peak-callers. ChIP-seq data are known to exhibit considerable background noise and other biases. In this study, we propose a negative binomial model (NB), a zero-inflated Poisson model (ZIP) and a zero-inflated negative binomial model (ZINB) for peak-calling. Using real ChIP-seq datasets, we show that ZINB model is the best model for ChIP-seq data. Then we incorporate control data, GC count information, and mappability information into the ZINB regression model as covariates using two link functions. We implemented this approach in C++, and our peak-caller chooses the optimal parameter combination for a given dataset. Performace of our approach is compared with two frequently used peak-callers: QuEST and MACS

Evolution of social behavior through interpopulation selection

Under certain special conditions natural selection can be effective at the level of local populations, or demes. Such interpopulation selection will favor genotypes that reduce the probability of extinction of their parent population even at the cost of a lowered inclusive fitness. Such genotypes may be characterized by altruistic traits only in a viscous population, i.e., in a population in which neighbors tend to be closely related. In a non-viscous population the interpopulation selection will instead favor spiteful traits when the populations are susceptible to extinction through the overutilization of the habitat, and cooperative traits when it is the newly established populations that are in the greatest danger of extinction

Factors influencing road accidents in Sri Lanka: a logistic regression approach

Road accidents are a major socio-economic problem in Sri Lanka. This study aims to identify the factors that mainly contribute to accident severity in Sri Lanka and to identify the significance of the factors for formulating the model. For this purpose, road accident yearly data were collected for the period of 2010 to 2014 from the Police Traffic Headquarters in Colombo and 13 factors were considered. In this study, Binomial Logistic Regression has been used to analyze the data due to the dichotomous nature of the dependent variable.Based on the results, concluded that variables such as light condition, age of the driver, the validity of the license, urban / rural, weather, vehicle type and age of the vehicle have a decreasing effect on the probability of a fatal accident. Similarly, remaining variables such as location type, alcohol test and accident cause have an increasing effect on the probability of a fatal accident. Among them, Accident Cause is the most important variable in the model